Abstract: An undirected weighted graph (UWG) is the fundamental data representation in various real applications. A graph convolution network is frequently utilized for representation learning to a ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?

Hey everyone! I recently passed the NVIDIA Data Science Professional Certification, and I'm thrilled to share some insights to help you on your journey. This is part of a series where I'll break down ...

In this tutorial, we demonstrate how to construct an automated Knowledge Graph (KG) pipeline using LangGraph and NetworkX. The pipeline simulates a sequence of intelligent agents that collaboratively ...

The S&P 500 fell almost 5 percent on Thursday, its worst drop since June 2020, as President Trump’s higher-than-expected tariffs set off another round of economic worry. A line chart showing the stock ...

At initialisation in both weisfeiler_lehman_graph_hash and weisfeiler_lehman_subgraph_hashes for graphs that do not have node or edge attributes, node weights are initialised using the degree of the ...

Manipulation of an AI model’s graph can be used to implant codeless, persistent backdoors in ML models, AI security firm HiddenLayer reports. Dubbed ShadowLogic, the technique relies on manipulating a ...

In the age of data, understanding complex relationships within networks—ranging from social interactions to infrastructure systems—is more crucial than ever. Network analysis provides a set of ...

NVIDIA and ArangoDB introduce a solution to boost NetworkX performance for medium-to-large graphs using RAPIDS cuGraph and ArangoDB. NetworkX, a widely-used Python library for graph analytics, often ...